Vegetation Remote Sensing
|
|
- Gerard Horn
- 6 years ago
- Views:
Transcription
1 Vegetation Remote Sensing Huade Guan Prepared for Remote Sensing class Earth & Environmental Science University of Texas at San Antonio November 2, 2005
2 Outline Why do we study vegetation remote sensing? What characteristics of vegetation (or vegetation cover) do we usually measure? How can we quantify these characteristics from remotely sensed imagery? A case study of quantifying fractional vegetation cover
3 GEOBASE results for: kw: vegetation and (kw: remote w sensing). Records found: 4,593 GEOBASE results for: kw: vegetation and (kw: remote w sensing) and kw: climate. Records found: 322; GEOBASE results for: kw: vegetation and (kw: remote w sensing) and kw: ecology. Records found: 814; GEOBASE results for: kw: vegetation and (kw: remote w sensing) and kw: hydrology. (Records found: 138; GEOBASE results for: kw: vegetation and (kw: remote w sensing) and kw: agriculture. Records found: 238; GEOBASE results for: kw: vegetation and (kw: remote w sensing) and kw: forest. Records found: 792
4 Vegetation effect on climate Global distribution of tropical savannas (Hoffmann & Jackson, 2000)
5 Modeled change from replacing savannas with grassland (Hoffmann & Jackson, 2000)
6 Modeled change from replacing savannas with grassland (Hoffmann & Jackson, 2000)
7 Pictures courtesy of Bradford Wilcox, Texas A&M Ecological change
8 Vegetation and hydrology From Scanlon et al. 2005
9 Ponderosa Juniper Grass Creosote Recharge: Creosote: ~0 mm/yr Grass: < 0.1 Juniper: 0.4 Ponderosa: 2.3 Sandvig, 2005
10 Agriculture Crop types and areas Irrigation Growth regulator application Stress detection Yield estimates
11 Forest An example, remotely sensed fuel moisture content
12 Why do we study vegetation remote sensing? What characteristics of vegetation (or vegetation cover) do we usually measure? How can we quantify these characteristics from remotely sensed imagery? A case study of quantifying fractional vegetation cover
13 What do we measure? Fractional vegetation cover Vegetation type Vegetation health status Stress (water, disease, ) Leaf area index,
14
15
16 Why do we study vegetation remote sensing? What characteristics of vegetation (or vegetation cover) do we usually measure? How can we quantify these characteristics from remotely sensed imagery? A case study of quantifying fractional vegetation cover?
17
18
19
20 Absorption Efficiency Chlorophyll b Chlorophyll a Absorption Spectra of Chlorophyll a and b Absorption Spectra of Chlorophyll a and b, β-carotene, Pycoerythrin, and Phycocyanin Pigments a violet blue green yellow red Wavelength, µm Phycocyanin Phycoerythrin Chlorophyll a peak absorption is at 0.43 and 0.66 µm. Absorption Efficiency b. β-carotene violet blue green yellow red Wavelength, µm Chlorophyll b peak absorption is at 0.45 and 0.65 µm. Optimum chlorophyll absorption windows are: µm m and µm Jensen, 2000
21 Water absorption bands: 0.97 µm 1.19 µm 1.45 µm 1.94 µm 2.70 µm Jensen, 2000
22 Spectral reflectance changes with foliage water content Jensen, 2000
23 Near infrared spruce soil reflectance Red Wavelength (nm)
24 Vegetation Indices The generic normalized difference vegetation index (NDVI): NDVI= NIR red NIR+ red has provided a method of estimating net primary production over varying biome types (e.g. Lenney et al., 1996), identifying ecoregions (Ramsey et al., 1995), monitoring phenological patterns of the earth s vegetative surface, and of assessing the length of the growing season and dry-down down periods (Huete( and Liu, 1994).
25 Vegetation Indices
26 Vegetation Indices More indices related to vegetation water stress (reviewed by Stimson et al. 2005): 1. Water absorption index (R895/R972) 2. Normalized difference infrared index [(R819-R1649)/(R819+R1649)] 3. Equivalent water thickness (R867~R1049) 4. Red edge (less subject to background effect) spruce soil reflectance Wavelength (nm)
27 Vegetation Indices Derive biophysical variables from vegetation indices For example, 1) Leaf area index: LAI = a + b NDVI 2) Fractional photosynthetically active radiation FPAR = a + b NDVI Both are related to NPP, a measurement of plant growth obtained by calculating the quantity of carbon absorbed and stored by vegetation.
28 Why do we study vegetation remote sensing? What characteristics of vegetation (or vegetation cover) do we usually measure? How can we quantify these characteristics from remotely sensed imagery? A case study of quantifying fractional vegetation cover
29 Study sites 2 1 3
30 Method (1) Pixel reflectance = Vegetation reflectance * Fr + Soil reflectance *(1-Fr) Or (2) Pixel NDVI = Vegetation NDVI * Fr + Soil NDVI *(1-Fr) A pixel
31 Collect End-member Spectral signature
32 For Pinyon ~ Juniper site Results 0.6 For shrub site 0.5 model derived Frr _LRS 2_LN 3_LRS 3_LN Reflectance model gave: Fr = 0.30; NDVI model gave: Fr = Field measured Fr Measured Fr: ~ 0.3 Why?
33 Work undergoing October 19, 2005
34 Exercises (1) Convert radiance measurements to spectral reflectance, and plot the result (2) Find the red-edge inflection point by looking at the first derivative of the reflectance-wavelength curve (3) Calculate NDVI using Landsat ETM bandwidths Red: , NIR: (4) Calculate NDVI using MODIS bandwidths Red: , NIR: (5) How much difference are the numbers from (2) and (3)?
Many of remote sensing techniques are generic in nature and may be applied to a variety of vegetated landscapes, including
Remote Sensing of Vegetation Many of remote sensing techniques are generic in nature and may be applied to a variety of vegetated landscapes, including 1. Agriculture 2. Forest 3. Rangeland 4. Wetland,
More informationEcosystems. 1. Population Interactions 2. Energy Flow 3. Material Cycle
Ecosystems 1. Population Interactions 2. Energy Flow 3. Material Cycle The deep sea was once thought to have few forms of life because of the darkness (no photosynthesis) and tremendous pressures. But
More informationEnvironmental Remote Sensing GEOG 2021
Environmental Remote Sensing GEOG 2021 Lecture 3 Spectral information in remote sensing Spectral Information 2 Outline Mechanisms of variations in reflectance Optical Microwave Visualisation/analysis Enhancements/transforms
More informationLecture Topics. 1. Vegetation Indices 2. Global NDVI data sets 3. Analysis of temporal NDVI trends
Lecture Topics 1. Vegetation Indices 2. Global NDVI data sets 3. Analysis of temporal NDVI trends Why use NDVI? Normalize external effects of sun angle, viewing angle, and atmospheric effects Normalize
More informationENVI Tutorial: Vegetation Analysis
ENVI Tutorial: Vegetation Analysis Vegetation Analysis 2 Files Used in this Tutorial 2 About Vegetation Analysis in ENVI Classic 2 Opening the Input Image 3 Working with the Vegetation Index Calculator
More informationComparison and Uncertainty Analysis in Remote Sensing Based Production Efficiency Models. Rui Liu
Comparison and Uncertainty Analysis in Remote Sensing Based Production Efficiency Models Rui Liu 2010-05-27 公司 Outline: Why I m doing this work? Parameters Analysis in Production Efficiency Model (PEM)
More informationFundamental Interactions with Earth Surface
Fundamental Interactions with Earth Surface 1 / 96 http://speclab.cr.usgs.gov/papers/tetracorder/ GEO 827 - Digital Image Processing and Analysis 2 / 96 http://www.markelowitz.com/hyperspectral.html 3
More informationSpectral reflectance: When the solar radiation is incident upon the earth s surface, it is either
Spectral reflectance: When the solar radiation is incident upon the earth s surface, it is either reflected by the surface, transmitted into the surface or absorbed and emitted by the surface. Remote sensing
More informationSeasonal and interannual relations between precipitation, soil moisture and vegetation in the North American monsoon region
Seasonal and interannual relations between precipitation, soil moisture and vegetation in the North American monsoon region Luis A. Mendez-Barroso 1, Enrique R. Vivoni 1, Christopher J. Watts 2 and Julio
More informationHyperspectral Remote Sensing --an indirect trait measuring method
Hyperspectral Remote Sensing --an indirect trait measuring method Jin Wu 05/02/2012 Outline Part 1: Terminologies & Tools of RS Techniques Part 2: RS Approaches to Estimating Leaf/Canopy Traits Part 3:
More informationMETRIC tm. Mapping Evapotranspiration at high Resolution with Internalized Calibration. Shifa Dinesh
METRIC tm Mapping Evapotranspiration at high Resolution with Internalized Calibration Shifa Dinesh Outline Introduction Background of METRIC tm Surface Energy Balance Image Processing Estimation of Energy
More informationLearning Objectives. Thermal Remote Sensing. Thermal = Emitted Infrared
November 2014 lava flow on Kilauea (USGS Volcano Observatory) (http://hvo.wr.usgs.gov) Landsat-based thermal change of Nisyros Island (volcanic) Thermal Remote Sensing Distinguishing materials on the ground
More informationIntroduction to Satellite Derived Vegetation Indices
Introduction to the Use of Geospatial Information Technology for Drought Risk Management 13-17 November, 2017 Tonle Bassac II Restaurant, Phnom Penh, Cambodia Introduction to Satellite Derived Vegetation
More informationClimate Change and Vegetation Phenology
Climate Change and Vegetation Phenology Climate Change In the Northeastern US mean annual temperature increased 0.7 C over 30 years (0.26 C per decade) Expected another 2-6 C over next century (Ollinger,
More informationMULTICHANNEL NADIR SPECTROMETER FOR THEMATICALLY ORIENTED REMOTE SENSING INVESTIGATIONS
S E S 2 5 Scientific Conference SPACE, ECOLOGY, SAFETY with International Participation 1 13 June 25, Varna, Bulgaria MULTICHANNEL NADIR SPECTROMETER FOR THEMATICALLY ORIENTED REMOTE SENSING INVESTIGATIONS
More informationN Management in Potato Production. David Mulla, Carl Rosen, Tyler Nigonand Brian Bohman Dept. Soil, Water & Climate University of Minnesota
N Management in Potato Production David Mulla, Carl Rosen, Tyler Nigonand Brian Bohman Dept. Soil, Water & Climate University of Minnesota Topics Background and conventional nitrogen management Evaluate
More informationReflectivity in Remote Sensing
Reflectivity in Remote Sensing The amount of absorbance and reflection of white light by a substance is dependent upon the molecular makeup of the substance. Humans have used dyes for years to obtain colors-
More informationDrought and its effect on vegetation, comparison of NDVI for drought and non-drought years related to Land use classifications
Drought and its effect on vegetation, comparison of NDVI for drought and non-drought years related to Land use classifications Jabbari *, S., Khajeddin, S. J. Jafari, R, Soltani, S and Riahi, F s.jabbari_62@yahoo.com
More informationAssimilating terrestrial remote sensing data into carbon models: Some issues
University of Oklahoma Oct. 22-24, 2007 Assimilating terrestrial remote sensing data into carbon models: Some issues Shunlin Liang Department of Geography University of Maryland at College Park, USA Sliang@geog.umd.edu,
More informationRemote sensing of the terrestrial ecosystem for climate change studies
Frontier of Earth System Science Seminar No.1 Fall 2013 Remote sensing of the terrestrial ecosystem for climate change studies Jun Yang Center for Earth System Science Tsinghua University Outline 1 Introduction
More informationAssessing Drought in Agricultural Area of central U.S. with the MODIS sensor
Assessing Drought in Agricultural Area of central U.S. with the MODIS sensor Di Wu George Mason University Oct 17 th, 2012 Introduction: Drought is one of the major natural hazards which has devastating
More informationRelationship between light use efficiency and photochemical reflectance index in soybean leaves as affected by soil water content
International Journal of Remote Sensing Vol. 27, No. 22, 20 November 2006, 5109 5114 Relationship between light use efficiency and photochemical reflectance index in soybean leaves as affected by soil
More informationEXTRACTION OF REMOTE SENSING INFORMATION OF BANANA UNDER SUPPORT OF 3S TECHNOLOGY IN GUANGXI PROVINCE
EXTRACTION OF REMOTE SENSING INFORMATION OF BANANA UNDER SUPPORT OF 3S TECHNOLOGY IN GUANGXI PROVINCE Xin Yang 1,2,*, Han Sun 1, 2, Zongkun Tan 1, 2, Meihua Ding 1, 2 1 Remote Sensing Application and Test
More informationPhysiological Ecology. Physiological Ecology. Physiological Ecology. Nutrient and Energy Transfer. Introduction to Ecology
Physiological Ecology Outline Introduction to Ecology Evolution and Natural Selection Physiological Ecology Behavioural Ecology Physiological Ecology study of species needs and tolerances that determine
More informationSolar Radiation and Environmental Biophysics Geo 827, MSU Jiquan Chen Oct. 6, 2015
Solar Radiation and Environmental Biophysics Geo 827, MSU Jiquan Chen Oct. 6, 2015 1) Solar radiation basics 2) Energy balance 3) Other relevant biophysics 4) A few selected applications of RS in ecosystem
More informationRemote Sensing Based Inversion of Gap Fraction for Determination of Leaf Area Index. Alemu Gonsamo 1 and Petri Pellikka 1
Remote Sensing Based Inversion of Gap Fraction for Determination of Leaf Area Index Alemu Gonsamo and Petri Pellikka Department of Geography, University of Helsinki, P.O. Box, FIN- Helsinki, Finland; +-()--;
More informationStress Deciduous Phenology in the CLM
Stress Deciduous Phenology in the CLM Kyla Dahlin & Rosie Fisher February 25, 2014 image credit: Forrest Copeland talesfromthebigcountry.wordpress.com Can we accurately model seasonal changes in vegetation
More informationAGOG 485/585 /APLN 533 Spring Lecture 5: MODIS land cover product (MCD12Q1). Additional sources of MODIS data
AGOG 485/585 /APLN 533 Spring 2019 Lecture 5: MODIS land cover product (MCD12Q1). Additional sources of MODIS data Outline Current status of land cover products Overview of the MCD12Q1 algorithm Mapping
More informationEMPIRICAL ESTIMATION OF VEGETATION PARAMETERS USING MULTISENSOR DATA FUSION
EMPIRICAL ESTIMATION OF VEGETATION PARAMETERS USING MULTISENSOR DATA FUSION Franz KURZ and Olaf HELLWICH Chair for Photogrammetry and Remote Sensing Technische Universität München, D-80290 Munich, Germany
More informationGNR401 Principles of Satellite Image Processing
Principles of Satellite Image Processing Instructor: Prof. CSRE, IIT Bombay bkmohan@csre.iitb.ac.in Slot 5 Guest Lecture PCT and Band Arithmetic November 07, 2012 9.30 AM 10.55 AM IIT Bombay Slide 1 November
More informationLand Surface Temperature Measurements From the Split Window Channels of the NOAA 7 Advanced Very High Resolution Radiometer John C.
Land Surface Temperature Measurements From the Split Window Channels of the NOAA 7 Advanced Very High Resolution Radiometer John C. Price Published in the Journal of Geophysical Research, 1984 Presented
More informationLAND COVER CATEGORY DEFINITION BY IMAGE INVARIANTS FOR AUTOMATED CLASSIFICATION
LAND COVER CATEGORY DEFINITION BY IMAGE INVARIANTS FOR AUTOMATED CLASSIFICATION Nguyen Dinh Duong Environmental Remote Sensing Laboratory Institute of Geography Hoang Quoc Viet Rd., Cau Giay, Hanoi, Vietnam
More informationISO MODIS NDVI Weekly Composites for Canada South of 60 N Data Product Specification
ISO 19131 MODIS NDVI Weekly Composites for South of 60 N Data Product Specification Revision: A Data specification: MODIS NDVI Composites for South of 60 N - Table of Contents - 1. OVERVIEW... 3 1.1. Informal
More informationWhat is a vegetation index?
Vegetation indexes What is a vegetation index? A tool: a vegetation index is a mathematical formula used to estimate the likelihood of vegetation presence in remotely sensed data A product: the result
More informationEstimation of Wavelet Based Spatially Enhanced Evapotranspiration Using Energy Balance Approach
Estimation of Wavelet Based Spatially Enhanced Evapotranspiration Using Energy Balance Approach Dr.Gowri 1 Dr.Thirumalaivasan 2 1 Associate Professor, Jerusalem College of Engineering, Department of Civil
More informationMonitoring Vegetation Growth of Spectrally Landsat Satellite Imagery ETM+ 7 & TM 5 for Western Region of Iraq by Using Remote Sensing Techniques.
Monitoring Vegetation Growth of Spectrally Landsat Satellite Imagery ETM+ 7 & TM 5 for Western Region of Iraq by Using Remote Sensing Techniques. Fouad K. Mashee, Ahmed A. Zaeen & Gheidaa S. Hadi Remote
More informationRyan Baum, MS Candidate, ISU Matthew Germino, Assistant Professor, ISU
Spatial and temporal variation in remotely sensed vegetation indices on the INEEL from 1984-2002 Ryan Baum, MS Candidate, ISU Matthew Germino, Assistant Professor, ISU Importance How does vegetation vary
More informationREMOTE SENSING ACTIVITIES. Caiti Steele
REMOTE SENSING ACTIVITIES Caiti Steele REMOTE SENSING ACTIVITIES Remote sensing of biomass: Field Validation of Biomass Retrieved from Landsat for Rangeland Assessment and Monitoring (Browning et al.,
More informationRESEARCH METHODOLOGY
III. RESEARCH METHODOLOGY 3.1 Time and Location This research has been conducted in period March until October 2010. Location of research is over Sumatra terrain. Figure 3.1 show the area of interest of
More informationMETEOSAT SECOND GENERATION DATA FOR ASSESSMENT OF SURFACE MOISTURE STATUS
METEOSAT SECOND GENERATION DATA FOR ASSESSMENT OF SURFACE MOISTURE STATUS Simon Stisen (1), Inge Sandholt (1), Rasmus Fensholt (1) (1) Institute of Geography, University of Copenhagen, Oestervoldgade 10,
More informationDrought Estimation Maps by Means of Multidate Landsat Fused Images
Remote Sensing for Science, Education, Rainer Reuter (Editor) and Natural and Cultural Heritage EARSeL, 2010 Drought Estimation Maps by Means of Multidate Landsat Fused Images Diego RENZA, Estíbaliz MARTINEZ,
More informationLand cover research, applications and development needs in Slovakia
Land cover research, applications and development needs in Slovakia Andrej Halabuk Institute of Landscape Ecology Slovak Academy of Sciences (ILE SAS) Štefánikova 3, 814 99 Bratislava, Slovakia Institute
More informationEcosystems. Component 3: Contemporary Themes in Geography 32% of the A Level
Ecosystems Component 3: Contemporary Themes in Geography 32% of the A Level Component 3 Written exam: 2hrs 15mins Section A Tectonic Hazards One compulsory extended response question 38 marks Section B
More informationBiomes Section 1. Chapter 6: Biomes Section 1: What is a Biome? DAY ONE
Chapter 6: Biomes Section 1: What is a Biome? DAY ONE What is a Biome? Biomes are large regions characterized by a specific type of climate and certain types of plant and animal communities. The climate
More informationImaging Spectrometry on Mangrove Species Identification and Mapping in Malaysia
Imaging Spectrometry on Mangrove Species Identification and Mapping in Malaysia KAMARUZAMAN, J and KASAWANI, I Forest Geospatial Information & Survey Lab, Lebuh Silikon Faculty of Forestry Universiti Putra
More informationResponse of Crops to a Heat Wave Detected by using Airborne Reflectance and Chlorophyll Fluorescence Measurements
Response of Crops to a Heat Wave Detected by using Airborne Reflectance and Chlorophyll Fluorescence Measurements Peiqi Yang, Christiaan van der Tol, Wouter Verhoef, Alexander Damm, Anke Schickling and
More informationLanduse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai
Landuse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai K. Ilayaraja Department of Civil Engineering BIST, Bharath University Selaiyur, Chennai 73 ABSTRACT The synoptic picture
More informationEO-1 SVT Site: TUMBARUMBA, AUSTRALIA
EO-1 SVT Site: TUMBARUMBA, AUSTRALIA Background Tumbarumba Tumbarumba Study Area is located in Southern NSW, Australia. (E 148º 15' S 35º 45') and covers 5, hectares of publicly owned Forest Gently undulating
More informationHYPERSPECTRAL VEGETATION INDICES FOR ESTIMATION OF LEAF AREA INDEX
HYPERSPECTRAL VEGETATION INDICES FOR ESTIMATION OF LEAF AREA INDEX R. Darvishzadeh a, C. Atzberger b, A. K. Skidmore a a International Institute for Geo-information Science and Earth Observation (ITC),
More informationPHOTOSYNTHESIS. Joseph Priestly 1772 experiment. SFSU Geography 316 Fall 2006 Dr. Barbara A. Holzman
Nutrient Cycling I. A.Photosynthesis B. Respiration C. Production Primary productivity Gross Production Net Production II. Types of photosynthesis A. C3, B. C4, C. CAM D. Comparisons III. General Carbon
More informationImpact & Recovery of Wetland Plant Communities after the Gulf Oil Spill in 2010 and Hurricane Isaac in 2012
Impact & Recovery of Wetland Plant Communities after the Gulf Oil Spill in 2010 and Hurricane Isaac in 2012 Introduction: The coastal wetlands, estuaries and lagoon systems of the Gulf Coast are a hotspot
More informationSUPPORTING INFORMATION. Ecological restoration and its effects on the
SUPPORTING INFORMATION Ecological restoration and its effects on the regional climate: the case in the source region of the Yellow River, China Zhouyuan Li, Xuehua Liu,* Tianlin Niu, De Kejia, Qingping
More informationBIOSPHERE KEY QUESTION 1. IV. BIOSPHERE: The living organisms that have established themselves in the
BIOSPHERE KEY QUESTION 1 IV. BIOSPHERE: The living organisms that have established themselves in the other three spheres A. In this module, two contrasting ecosystems should be studied to a greater depth
More informationin this web service Cambridge University Press
Vegetation Dynamics Understanding ecosystem structure and function requires familiarity with the techniques, knowledge and concepts of the three disciplines of plant physiology, remote sensing and modelling.
More informationECNU WORKSHOP LAB ONE 2011/05/25)
ECNU WORKSHOP LAB ONE (Liam.Gumley@ssec.wisc.edu 2011/05/25) The objective of this laboratory exercise is to become familiar with the characteristics of MODIS Level 1B 1000 meter resolution data. After
More informationPages 63 Monday May 01, 2017
Pages 6 Notebook check: Biome basics and A Modern Desert Biome Warm up: Copy the graph below, title it Defining factor a biome: temperature and precipitation Pages 6 an based on regarding Learning scale:
More informationLand cover/land use mapping and cha Mongolian plateau using remote sens. Title. Author(s) Bagan, Hasi; Yamagata, Yoshiki. Citation Japan.
Title Land cover/land use mapping and cha Mongolian plateau using remote sens Author(s) Bagan, Hasi; Yamagata, Yoshiki International Symposium on "The Imp Citation Region Specific Systems". 6 Nove Japan.
More informationDeveloping a protocol to use remote sensing as a cost effective tool to monitor contamination of mangrove wetlands
Developing a protocol to use remote sensing as a cost effective tool to monitor contamination of mangrove wetlands Johannes H. Schellekens, Fernando Gilbes-Santaella, Augustine Rodriguez-Roman, and Belyneth
More informationFeb 6 Primary Productivity: Controls, Patterns, Consequences. Yucatan, Mexico, Dry Subtropical
Feb 6 Primary Productivity: Controls, Patterns, Consequences Yucatan, Mexico, Dry Subtropical History Hutchinson (1959), What factors limit the number of species in a place? - habitat heterogeneity - habitat
More informationThe Wide Dynamic Range Vegetation Index and its Potential Utility for Gap Analysis
Summary StatMod provides an easy-to-use and inexpensive tool for spatially applying the classification rules generated from the CT algorithm in S-PLUS. While the focus of this article was to use StatMod
More informationSub-pixel regional land cover mapping. with MERIS imagery
Sub-pixel regional land cover mapping with MERIS imagery R. Zurita Milla, J.G.P.W. Clevers and M. E. Schaepman Centre for Geo-information Wageningen University 29th September 2005 Overview Land Cover MERIS
More informationModule 3. Basic Ecological Principles
Module 3. Basic Ecological Principles Ecosystem Components Abiotic Biotic Species & Habitat The Biomes of North America Communities Energy & Matter Cycles in Ecosystems Primary Productivity Simple Ecosystem
More informationRemote sensing Based Assessment of Urban Heat Island Phenomenon in Nagpur Metropolitan Area
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, Number 11 (2014), pp. 1069-1074 International Research Publications House http://www. irphouse.com Remote sensing
More informationAssessment of Vegetation Photosynthesis through Observation of Solar Induced Fluorescence from Space
Assessment of Vegetation Photosynthesis through Observation of Solar Induced Fluorescence from Space Executive Summary 1. Introduction The increase in atmospheric CO 2 due to anthropogenic emissions, and
More informationLand Surface Remote Sensing II
PROCEEDINGS OFSPIE Land Surface Remote Sensing II Thomas J. Jackson Jing Ming Chen Peng Gong Shunlin Liang Editors 13-16 October 2014 Beijing, China Sponsored by SPIE Cosponsored by State Key Laboratory
More informationSpace Applications Institute Characterization of the Impact of Forest Architecture on AVHRR Bands 1 and 2 Observations
Space Applications Institute Characterization of the Impact of Forest Architecture on AVHRR Bands 1 and 2 Observations by Yves M. Govaerts EC Joint Research Centre January 1997 i Table of Contents Overview
More informationPrecipitation: Evapotranspiration: S i o l il M o t s ure: Groundwater: Streamflow: Vegetation:
Satellite and Ground-based Approaches for Monitoring Impacts of Agriculture on Ground Resources Bridget R. Scanlon, Laurent Longuevergne, Guillaume Favreau*, Claudia Faunt** Center for Sustainable Water
More informationDEPENDENCE OF URBAN TEMPERATURE ELEVATION ON LAND COVER TYPES. Ping CHEN, Soo Chin LIEW and Leong Keong KWOH
DEPENDENCE OF URBAN TEMPERATURE ELEVATION ON LAND COVER TYPES Ping CHEN, Soo Chin LIEW and Leong Keong KWOH Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Lower Kent
More informationMulti-temporal remote sensing for spatial estimation of Plant Available Water holding Capacity (PAWC)
NDVI Time Geosmart Asia Locate 18 9 11 April 2018 Multi-temporal remote sensing for spatial estimation of Plant Available Water holding Capacity (PAWC) Sofanit Araya Bertram Ostendorf Gregory Lyle Megan
More informationForecasting wheat yield in the Canadian Prairies using climatic and satellite data
Prairie Perspectives 81 Forecasting wheat yield in the Canadian Prairies using climatic and satellite data V. Kumar, University of Manitoba C. E. Haque, Brandon University Abstract: Wheat yield forecasting
More informationOCN 401. Photosynthesis
OCN 401 Photosynthesis Photosynthesis Process by which carbon is reduced from CO 2 to organic carbon Provides all energy for the biosphere (except for chemosynthesis at hydrothermal vents) Affects composition
More informationDroughts are normal recurring climatic phenomena that vary in space, time, and intensity. They may affect people and agriculture at local scales for
I. INTRODUCTION 1.1. Background Droughts are normal recurring climatic phenomena that vary in space, time, and intensity. They may affect people and agriculture at local scales for short periods or cover
More informationEcosystem-Climate Interactions
Ecosystem-Climate Interactions Dennis Baldocchi UC Berkeley 2/1/2013 Topics Climate and Vegetation Correspondence Holdredge Classification Plant Functional Types Plant-Climate Interactions Canopy Microclimate
More informationCarbon Input to Ecosystems
Objectives Carbon Input Leaves Photosynthetic pathways Canopies (i.e., ecosystems) Controls over carbon input Leaves Canopies (i.e., ecosystems) Terminology Photosynthesis vs. net photosynthesis vs. gross
More informationGreening of Arctic: Knowledge and Uncertainties
Greening of Arctic: Knowledge and Uncertainties Jiong Jia, Hesong Wang Chinese Academy of Science jiong@tea.ac.cn Howie Epstein Skip Walker Moscow, January 28, 2008 Global Warming and Its Impact IMPACTS
More informationFeature Extraction using Normalized Difference Vegetation Index (NDVI): a Case Study of Panipat District
Feature Extraction using Normalized Difference Vegetation Index (NDVI): a Case Study of Panipat District Seema Rani, Rajeev 2, Ravindra Prawasi 3 Haryana Space Applications Centre, CCS HAU Campus, Hisar
More informationSupplementary Figures
Supplementary Figures Supplementary Figure 1: The partial correlation coefficient of NDVI GS and GT for the first 15 years (1982-1996) and the last 15 years (1997-211) with five different definition of
More informationDrought Assessment under Climate Change by Using NDVI and SPI for Marathwada
Available online at www.ijpab.com ISSN: 2320 7051 Int. J. Pure App. Biosci. SPI: 6 (1): 1-5 (2018) Research Article Drought Assessment under Climate Change by Using NDVI and SPI for Marathwada A. U. Waikar
More informationRemote Sensing Geographic Information Systems Global Positioning Systems
Remote Sensing Geographic Information Systems Global Positioning Systems Assessing Seasonal Vegetation Response to Drought Lei Ji Department of Geography University of Nebraska-Lincoln AVHRR-NDVI: July
More informationDROUGHT ASSESSMENT USING SATELLITE DERIVED METEOROLOGICAL PARAMETERS AND NDVI IN POTOHAR REGION
DROUGHT ASSESSMENT USING SATELLITE DERIVED METEOROLOGICAL PARAMETERS AND NDVI IN POTOHAR REGION Researcher: Saad-ul-Haque Supervisor: Dr. Badar Ghauri Department of RS & GISc Institute of Space Technology
More informationHot Spot Signature Dynamics in Vegetation Canopies with varying LAI. F. Camacho-de Coca, M. A. Gilabert and J. Meliá
Hot Spot Signature Dynamics in Vegetation Canopies with varying LAI F. Camacho-de Coca, M. A. Gilabert and J. Meliá Departamento de Termodinàmica. Facultat de Física. Universitat de València Dr. Moliner,
More informationGlobal Biogeography. Natural Vegetation. Structure and Life-Forms of Plants. Terrestrial Ecosystems-The Biomes
Global Biogeography Natural Vegetation Structure and Life-Forms of Plants Terrestrial Ecosystems-The Biomes Natural Vegetation natural vegetation is the plant cover that develops with little or no human
More informationRemote Sensing as a Tool to Manage Nitrogen for Irrigated Potato Production
Remote Sensing as a Tool to Manage Nitrogen for Irrigated Potato Production Brian Bohman, Carl Rosen, and David Mulla Department of Soil, Water, and Climate University of Minnesota Potato Remote Sensing
More informationANALYSIS AND VALIDATION OF A METHODOLOGY TO EVALUATE LAND COVER CHANGE IN THE MEDITERRANEAN BASIN USING MULTITEMPORAL MODIS DATA
PRESENT ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, NR. 4, 2010 ANALYSIS AND VALIDATION OF A METHODOLOGY TO EVALUATE LAND COVER CHANGE IN THE MEDITERRANEAN BASIN USING MULTITEMPORAL MODIS DATA Mara Pilloni
More informationWeather and climate outlooks for crop estimates
Weather and climate outlooks for crop estimates CELC meeting 2016-04-21 ARC ISCW Observed weather data Modeled weather data Short-range forecasts Seasonal forecasts Climate change scenario data Introduction
More informationNASA NNG06GC42G A Global, 1-km Vegetation Modeling System for NEWS February 1, January 31, Final Report
NASA NNG06GC42G A Global, 1-km Vegetation Modeling System for NEWS February 1, 2006- January 31, 2009 Final Report Scott Denning, Reto Stockli, Lixin Lu Department of Atmospheric Science, Colorado State
More informationDynamic Land Cover Dataset Product Description
Dynamic Land Cover Dataset Product Description V1.0 27 May 2014 D2014-40362 Unclassified Table of Contents Document History... 3 A Summary Description... 4 Sheet A.1 Definition and Usage... 4 Sheet A.2
More informationName Date Class. This section explains how plants make food by using the energy from sunlight.
Cell Processes and Energy Name Date Class Cell Processes and Energy Guided Reading and Study Photosynthesis This section explains how plants make food by using the energy from sunlight. Use Target Reading
More informationSpatial Drought Assessment Using Remote Sensing and GIS techniques in Northwest region of Liaoning, China
Spatial Drought Assessment Using Remote Sensing and GIS techniques in Northwest region of Liaoning, China FUJUN SUN, MENG-LUNG LIN, CHENG-HWANG PERNG, QIUBING WANG, YI-CHIANG SHIU & CHIUNG-HSU LIU Department
More informationModeling of Environmental Systems
Modeling of Environmental Systems While the modeling of predator-prey dynamics is certainly simulating an environmental system, there is more to the environment than just organisms Recall our definition
More informationRequired Consistency between Biome Definitions and Signatures with the Physics of Remote Sensing. I: Empirical Arguments
Required Consistency between Biome Definitions and Signatures with the Physics of Remote Sensing. I: Empirical Arguments Y. Zhang 1, Y. Tian 1, R.B. Myneni 1, Y. Knyazikhin 1, C.E. Woodcock 1 1 Department
More informationNIDIS Remote Sensing Workshop: Showcase of Products & Technologies
Feature Article From Intermountain West Climate Summary, April 2008 NIDIS Remote Sensing Workshop: Showcase of Products & Technologies By Christina Alvord of WWA Three knowledge assessment workshops are
More informationGMES: calibration of remote sensing datasets
GMES: calibration of remote sensing datasets Jeremy Morley Dept. Geomatic Engineering jmorley@ge.ucl.ac.uk December 2006 Outline Role of calibration & validation in remote sensing Types of calibration
More informationLecture 2: principles of electromagnetic radiation
Remote sensing for agricultural applications: principles and methods Lecture 2: principles of electromagnetic radiation Instructed by Prof. Tao Cheng Nanjing Agricultural University March Crop 11, Circles
More informationBiomes There are 2 types: Terrestrial Biomes (on land) Aquatic Biomes (in the water)
Biomes There are 2 types: Terrestrial Biomes (on land) Aquatic Biomes (in the water) Terrestrial Biomes Grassland, Desert, and Tundra Biomes: Savanna Temperate grassland Chaparral Desert Tundra Chapter
More informationMAPPING LAND USE/ LAND COVER OF WEST GODAVARI DISTRICT USING NDVI TECHNIQUES AND GIS Anusha. B 1, Sridhar. P 2
MAPPING LAND USE/ LAND COVER OF WEST GODAVARI DISTRICT USING NDVI TECHNIQUES AND GIS Anusha. B 1, Sridhar. P 2 1 M. Tech. Student, Department of Geoinformatics, SVECW, Bhimavaram, A.P, India 2 Assistant
More informationBiology and the hierarchies of life. finer scale. coarser scale. individual. populations. metapopulation. community. ecosystem. biome.
Biology and the hierarchies of life finer scale individual populations metapopulation community ecosystem biome coarser scale biosphere 1 Communities: all species that live together in one place Eucalypt
More information9/12/2011. Training Course Remote Sensing - Basic Theory & Image Processing Methods September 2011
Training Course Remote Sensing - Basic Theory & Image Processing Methods 19 23 September 2011 Introduction to Remote Sensing Michiel Damen (September 2011) damen@itc.nl 1 Overview Electro Magnetic (EM)
More informationSatellites, Weather and Climate Module 1: Introduction to the Electromagnetic Spectrum
Satellites, Weather and Climate Module 1: Introduction to the Electromagnetic Spectrum What is remote sensing? = science & art of obtaining information through data analysis, such that the device is not
More information